Top Remote Machine Learning Engineer Jobs in Chicago, IL
As a Principal Machine Learning Engineer at Atlassian, you will drive the development and implementation of cutting-edge machine learning algorithms, collaborate with various teams to integrate AI functionalities into products and services, and provide guidance to emerging ML engineers.
As a Machine Learning Engineer at Dropbox, you will design, build, evaluate, deploy, and iterate on large scale ML systems, collaborate with cross-functional teams, and impact millions of users with personalized experiences.
Machine Learning Engineer role at Cash App focusing on building machine learning models for fraud detection, customer support automation, and underwriting and credit evaluation. The role involves experimenting with state-of-the-art algorithms, using NLP for contextual inquiries, and integrating ML solutions for evaluating customer risks.
As a machine learning engineer, you will work on a large-scale machine learning system, contribute to recommender systems, and continuously improve solutions.
As an Applied Machine Learning engineer at Atlassian, you will work on the development and implementation of cutting-edge machine learning algorithms, training models, and collaborating with product, engineering, and analytics teams to integrate AI functionalities into Atlassian products and services. Responsibilities include designing system and model architectures, conducting rigorous experimentation, and applying AI/ML to improve product problems.
Seeking a Staff Machine Learning Engineer/Architect to lead the Machine Learning and Artificial Intelligence R&D strategy at Qualtrics. Responsibilities include designing AI architectures, frameworks, and algorithms, evaluating AI technologies, collaborating across teams, and deploying ML systems in production.
As a Senior Principle Machine Learning Engineer at Atlassian, you will integrate AI capabilities into Atlassian products, extract insights from data, develop robust models, collaborate with cross-functional teams, and promote AI within the organization.
Experiment with state-of-the-art algorithms to improve knowledge retrieval and search efficiency, develop Natural Language Processing and Gen AI models to improve customer support effectiveness, collaborate with cross-functional teams, and continuously monitor and evaluate machine learning model performance.
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Develop and implement machine learning models for fraud detection, analyze datasets, collaborate with cross-functional teams, monitor model performance, stay updated with the latest ML and fraud detection techniques, and present reports to stakeholders.
As a Principal Data Scientist, you will drive the experimentation practices and analyses, collaborating with business, engineering, and analytics teams, to enable trustworthy decisions at scale.
Senior Machine Learning Engineer focused on modeling and measurement within Square's GTM organization. Responsible for developing ML models and algorithms for strategic decision-making. Collaborate with various stakeholders to enhance Square's attribution system and drive growth.
Join Square as a Senior Machine Learning Engineer specializing in attribution space within the Measurement Machine Learning teams. Develop cutting-edge ML models and algorithms to provide insights for strategic investment decisions. Collaborate with various stakeholders to inform growth strategy with data-driven attribution solutions.
As a Senior Machine Learning Engineer at Movable Ink, you will be responsible for advancing the core machine learning solution and infrastructure, building scalable models, and deploying them to production. You will work on recommender-system related challenges, collaborate with data engineers and platform engineers, and continuously improve the ML platform.
Design equitable, explainable, and competitive compensation programs at Atlassian. Base pay ranging from $165,500 to $265,800 depending on skills, expertise, or experience. Eligible for benefits, bonuses, commissions, and equity.
Looking for a Senior Machine Learning Engineer to join our team in building and scaling our platform for access control and office automation. Responsibilities include building tools and data pipelines, optimizing algorithms, collaborating with cross-functional teams, conducting research, and generating patents or publications. Qualifications include a graduate degree in CS or a relevant field, 2+ years of industry experience, expert knowledge of C++ and/or Python, and experience in speech recognition.
Design and build batch and real-time inference services and tooling, facilitate modelers, develop prototypes, and influence team culture in a global financial crimes technology team using Machine Learning and Generative AI at Cash App.
Seeking a Senior Machine Learning Platform Engineer to join the Machine Learning Foundations team at a company focused on economic empowerment. Responsibilities include building self-service tooling for the model lifecycle, collaborating with internal teams, leading architectural discussions, mentoring teammates, and more.
Design, build, and launch credit products and features for Cash App's Underwriting & Credit organization. Solve challenging technical problems at scale, collaborate with cross-functional teams, and mentor fellow engineers. Embrace changes in technology to promote future evolvability of tech stack.
The Senior Machine Learning Engineer (Modeling) - Underwriting and Credit role is part of Cash App's ML team and is deeply embedded within the Underwriting and Credit workstream. The engineer will work on building and integrating ML solutions for evaluating customer cash flow risk, including risk of default on credit obligations and risk of fraud & abuse of loans. The engineer will also be responsible for optimizing the automated decisioning pipeline using AI/ML techniques and collaborating cross-functionally with finance, product, and engineering teams.
You will be part of a central data science team at Atlassian, responsible for ensuring metrics consistency, collaborating on product and business problems, applying technical expertise in data analysis, and influencing strategy decisions.
Join Dropbox as a Senior Machine Learning Software Engineer to shape the future direction of the organization and innovate at scale. Collaborate with cross-functional teams to build large-scale Machine Learning systems and personalize user experiences.
Lead Principal Machine Learning Software Engineer
Seeking a Deep Learning Research Scientist to create novel deep learning systems with a focus on open source projects. Responsibilities include designing and developing generative AI systems, improving existing deep learning systems, and advancing the research agenda. Must have a master's degree in Computer Science or related, 5+ years of deep learning experience, strong background in deep learning theory and techniques, and proficiency in Python.
Top Chicago, IL Companies Hiring Remote Machine Learning Engineers
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